Sort by
Refine Your Search
-
radiolabeling of the resulting constructs. The fellow will conduct interdisciplinary research to develop unique translational therapeutics or methods to quantify the imaging data. Our federally-funded team is
-
Curriculum vitae Three most relevant authored publications Names and full contact information (email and phone numbers) of three potential references Stanford is an equal opportunity employer and all qualified
-
, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
-
, and to utilize the unique data provided by tutoring to better understand teaching and learning. The postdoctoral fellow will contribute to this work by leading one or more of the following research
-
outcomes of a priority project, while also contributing to secondary efforts. Responsibilities include gaining deep familiarity with study assessments, protocols, data structures, and—where applicable
-
) https://med.stanford.edu/phosctrm.html (link is external) How to Submit Application Materials: To apply, applicants should submit a cover letter, CV, and contact information of 3 references by email to
-
Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1-3 years Appointment Start
-
/summerhanlab.html (link is external) How to Submit Application Materials: Please email a cover letter, CV, a short description of research interests, and contact information of three referees to summer.han
-
Vitae Contact information for 3 professional references One-page statement of research accomplishments and interests Stanford is an equal opportunity employer and all qualified applicants will receive
-
model. Key responsibilities include: Performing animal surgeries, including intracranial tumor implantation Acquisition and analysis of MRI/MRS data Conducting histological validation and tissue analysis